A Coverage-Aware Cross-layer Architecture for Video-based Wireless Sensor Networks
Wireless multimedia sensor networks, coverage-awareness, cross-layer optimization, congestion control, loss recovery
Video-based wireless sensor networks are an emerging technology which employs some nodes endowed with a CMOS camera for a series of innovative multimedia sensing applications. Those sensors nodes are resource-constrained electronic devices that communicate through error-prone wireless links, imposing stringent restrictions in communication bandwidth, end-to-end delay and packet error rate. Video-based sensors collect data following a directional sensing model, leading to a different meaning of the sensing relevance of the source nodes for the application. We propose a cross-layer architecture for congestion control and error recovery over a multipath routing facility, where optimizations are based on the sensing relevance of the video-based source nodes. Such architecture is composed of some specialized modules, each one addressing a particular communication challenge concerning coverage-aware communications over video-based wireless sensor networks. The combined operation of these modules will be formally specified and the operation of the architecture will be properly measured in order to find optimal configurations of the architectures’ applications.